The correct answer is B. Snowflake.
A snowflake schema is a type of database schema that features normalized dimension tables. A database schema is a way of organizing and structuring the data in a database. A dimension table is a table that contains descriptive attributes or characteristics of the data, such as product name, category, color, etc. A normalized table is a table that follows the rules of normalization, which is a process of reducing data redundancy and improving data integrity by organizing the data into smaller and simpler tables12 A snowflake schema is a variation of the star schema, which is another type of database schema that features denormalized dimension tables. A denormalized table is a table that does not follow the rules of normalization, and may contain redundant or duplicated data. A star schema consists of a central fact table that contains quantitative measures or facts, such as sales amount, order quantity, etc., and several dimension tables that are directly connected to the fact table. A snowflake schema differs from a star schema in that the dimension tables are further split into sub-dimension tables, creating a snowflake-like shape13 A snowflake schema has some advantages and disadvantages over a star schema. Some advantages are:
* It reduces the storage space required for the dimension tables, as it eliminates the redundant data.
* It improves the data quality and consistency, as it avoids the update anomalies that may occur in denormalized tables.
* It allows more detailed analysis and queries, as it provides more levels of dimensions.
Some disadvantages are:
* It increases the complexity and number of joins required to retrieve the data from multiple tables, which may affect the query performance and speed.
* It reduces the readability and simplicity of the schema, as it has more tables and relationships to understand.
* It may require more maintenance and administration, as it has more tables to manage and update13